DevOps Engineer

Akuaro; Sevilla; Híbrido; EUR 30.000 - 50.000; Jornada completa

Descripción de la vacante

Akuaro, a technology company focused on the hospitality industry, is seeking a talented Data Engineer to join their team. This role involves designing scalable data pipelines, collaborating with various teams, and ensuring data quality. Ideal candidates should have experience with SQL, NoSQL, and strong problem-solving skills. The position offers the opportunity to work on large data projects using cutting-edge technologies.

Formación

• Demonstrated data engineering experience, building pipelines and ETLs.
• Experience with SQL and NoSQL databases; ClickHouse valued.
• Strong problem-solving and communication skills.

Responsabilidades

• Design and maintain scalable data pipelines in real-time.
• Collaborate with engineering teams to ensure data quality.
• Build and maintain code to customize tools.

Conocimientos

Data Engineering

Problem Solving

Communication

Collaboration

Herramientas

Kafka

ClickHouse

MongoDB

AWS

DataDog

Python

Golang

Descripción del empleo

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Our partner is looking for a talented and motivated Data Engineer to join their growing team. The technology company provides innovative software (B2B SaaS) for the hospitality industry.

Stack & Security Context

They manage vast amounts of diverse data making use of Kafka, ClickHouse, MongoDB, DataDog, Kubernetes and AWS stack.

The Role

What you’ll do :

• Design, build, and maintain scalable data pipelines, reading events from topics, storing them in different databases and retrieving results via API, all in real-time.
• Manage the single-source-of-truth for various key metrics, understanding how they are calculated, paying close attention to details and performing corrections or recalculations if needed.
• Collaborate with engineering teams to embed security and data quality principles throughout the data life cycle.
• Develop and maintain DataDog alerts to ensure data is continuously flowing.
• Act as the primary liaison with our Data Science team, who will develop powerful algorithms based on the data you serve.
• Continuously evaluate and improve our data architecture and monitoring practices.
• Build and maintain code (Python or Golang) to fully customize our tools (APIs, data scripts, etc.)
• Collaborate in shared repositories making use of Git.

Requirements :

• Demonstrated data engineering experience, building pipelines and ETLs.
• Experience with both SQL and NoSQL databases. Experience with ClickHouse or other column-oriented databases is specially valued.
• Comfortable working in agile and collaborative environments.
• Strong problem-solving and communication skills.
• Ability to communicate effectively with an international team in English, both written and spoken.

What to Expect

In your first month :

• Complete your onboarding and understand our data ecosystem.
• Get to know the entire team and integrate into our way of working.
• Join ongoing database discussions, actively contributing with your insights.
• Familiarize yourself with your squad’s product areas and internal support processes.

In your first three months :

• Gain a deep understanding of our processes, tools, and architecture.
• Identify and lead improvements in our data pipelines.
• Own and deliver a successful project—whether a feature launch, a technical improvement, or a product enhancement— with technical independence.

In your first six months :

• Become a key reference point in your team, being able to answer about current data solutions by yourself while suggesting any improvements you may think of.

Nice to Have :

• Familiarity with compliance frameworks (SOC 2, ISO 27001) and personal data directives (GDPR).
• Familiarity with Data Governance principles.
• Opportunity to work on cutting-edge architecture and meaningful projects in the hospitality sector.
• 100% remote in Spain or hybrid if you are in Barcelona.

Apply here!

Seniority level

• Seniority level Not Applicable

Employment type

• Employment type Full-time

Job function

• Job function Information Technology

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